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Optimization Theory and Methods : Nonlinear Programming

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Cover of 'Optimization Theory and Methods : Nonlinear Programming'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Line Search
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    Chapter 3 Newton’s Methods
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    Chapter 4 Conjugate Gradient Method
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    Chapter 5 Quasi-Newton Methods
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    Chapter 6 Trust-Region Methods and Conic Model Methods
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    Chapter 7 Solving Nonlinear Least-Squares Problems
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    Chapter 8 Theory of Constrained Optimization
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    Chapter 9 Quadratic Programming
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    Chapter 10 Penalty Function Methods
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    Chapter 11 Feasible Direction Methods
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    Chapter 12 Sequential Quadratic Programming
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    Chapter 13 Trust-Region Methods for Constrained Problems
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    Chapter 14 Nonsmooth Optimization
Attention for Chapter 4: Conjugate Gradient Method
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